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Using machine learning, study develops models to predict high-risk gun dealers

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New machine learning model quickly and accurately predicts dielectric function

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A machine learning-based approach to discover nanocomposite films for biodegradable plastic alternatives

Editors’ notes This article has been reviewed according to Science X’s editorial process and policies. Editors have highlighted the following attributes while ensuring the content’s credibility: fact-checked peer-reviewed publication trusted source proofread by Ingrid Fadelli , Phys.org Comparative display of traditional plastic items and their eco-friendly, biodegradable counterparts developed through predictive modeling. Top: conventional plastic

New study uses machine learning to bridge the reality gap in quantum devices

(a) Device geometry including the gate electrodes (labeled G1–G8), donor ion plane, and an example disorder potential experienced by confined electrons. Typical flow of current from source to drain is indicated by the white arrow. (b) Schematic of the disorder inference process. Colors indicate the following: red for experimentally controllable variables, green for quantities relevant

A machine learning model for identifying new compounds to fight against global warming

Credit: ACS Sustainable Chemistry & Engineering (2022). DOI: 10.1021/acssuschemeng.2c05985 Among all greenhouse gases, carbon dioxide is the highest contributor to global warming. If we do not take action by 2100, according to the Intergovernmental Panel on Climate Change, the average temperature of our world will increase by about 34 degrees Fahrenheit. Finding effective ways to…

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